G.N. Phillips
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Computational Drug Discovery Methods 6
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- SARS-CoV-2 and COVID-19 Research 5
- Infectious Encephalopathies and Encephalitis 1
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Leighton Coates (9 shared papers)Daniel W. Kneller (8 shared papers)Andrey Kovalevsky (8 shared papers)Hugh O’Neill (4 shared papers)A. Joachimiak (2 shared papers)Lucy Stols (1 shared paper)R. Jedrzejczak (1 shared paper)Paul Langan (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Nature Communications (2 papers)IUCrJ (1 paper)Journal of Biological Chemistry (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
G.N. Phillips
9 papers receiving 716 citations
G.N. Phillips's Hit Papers
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 454
- Infectious Diseases 341
- Molecular Biology 325
- Organic Chemistry 137
- Pharmacology 26
Countries citing papers authored by G.N. Phillips
This map shows the geographic impact of G.N. Phillips's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G.N. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.N. Phillips more than expected).
Fields of papers citing papers by G.N. Phillips
This network shows the impact of papers produced by G.N. Phillips. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G.N. Phillips. The network helps show where G.N. Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside G.N. Phillips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structural plasticity of SARS-CoV-2 3CL Mpro active site cavity revealed by room temperature X-ray crystallography Hit paper breakdown → | 2020 | 344 |
| 2 | 2022 | 99 | |
| 3 | 2020 | 96 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 44 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 10 |
About G.N. Phillips
G.N. Phillips is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 723 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (2 papers), Infectious Encephalopathies and Encephalitis (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Nuclear Physics and Applications (1 paper) and Metal complexes synthesis and properties (1 paper). The work is most often cited by research in Computational Theory and Mathematics (454 citations), Infectious Diseases (341 citations), Molecular Biology (325 citations), Organic Chemistry (137 citations) and Pharmacology (26 citations). G.N. Phillips has collaborated with scholars based in United States and France. Frequent co-authors include Leighton Coates, Daniel W. Kneller, Andrey Kovalevsky, Hugh O’Neill, A. Joachimiak, Lucy Stols, R. Jedrzejczak, Paul Langan, Kevin L. Weiss and Swati Pant. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, IUCrJ, Journal of Biological Chemistry and Science Advances.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.